Publications related to Learning classifier system

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Sébastien Marcel, Parsa Rahimi Noshanagh, Christophe René Joseph Ecabert

Recently, it has been exposed that some modern facial recognition systems could discriminate specific demographic groups and may lead to unfair attention with respect to various facial attributes such as gender and origin. The main reason are the biases in ...

IEEE2023

Federated Learning under Covariate Shifts with Generalization Guarantees

Volkan Cevher, Grigorios Chrysos, Fanghui Liu, Thomas Michaelsen Pethick

This paper addresses intra-client and inter-client covariate shifts in federated learning (FL) with a focus on the overall generalization performance. To handle covariate shifts, we formulate a new global model training paradigm and propose Federated Impor ...

2023

Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of insulin resistance

Johan Auwerx, Dongryeol Ryu

A simple predictive biomarker for fatty liver disease is required for individuals with insulin resistance. Here, we developed a supervised machine learning-based classifier for fatty liver disease using fecal 16S rDNA sequencing data. Based on the Kangbuk ...

NATURE PORTFOLIO2022

Optimal recovery of unsecured debt via interpretable reinforcement learning

Thomas Alois Weber, Michael Mark, Huanxi Liu

This paper addresses the issue of interpretability and auditability of reinforcement-learning agents employed in the recovery of unsecured consumer debt. To this end, we develop a deterministic policy-gradient method that allows for a natural integration o ...

2022

Classification of fall directions via wearable motion sensors

Mustafa Sahin Turan

Effective fall-detection and classification systems are vital in mitigating severe medical and economical consequences of falls to people in the fall risk groups. One class of such systems is based on wearable sensors. While there is a vast amount of acade ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Optical fibre based quench detection in HTS applications using machine learning classifiers

Nicolo' Riva, Arooj Akbar, Bertrand Dutoit

A Mach-Zehnder Interferometer (MZI) based optical fibre sensing technique, developed and patented by EPFL, is an efficient and economical way to detect hotspots in High Temperature Superconductor (HTS) applications. Due to the MZI sensitivity being a compo ...

2022

Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study

Mahsa Shoaran, Bingzhao Zhu

The researchers used a machine-learning classification approach to better understand neurological features associated with periods of wayfinding uncertainty. The participants (n = 30) were asked to complete wayfinding tasks of varying difficulty in a virtu ...

ELSEVIER SCI LTD2022

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Wulfram Gerstner, Johanni Michael Brea, Alireza Modirshanechi, Kerstin Preuschoff, Marco Philipp Lehmann, Vasiliki Liakoni

Learning how to reach a reward over long series of actions is a remarkable capability of humans, and potentially guided by multiple parallel learning modules. Current brain imaging of learning modules is limited by (i) simple experimental paradigms, (ii) e ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

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Learning classifier system

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis

Federated Learning under Covariate Shifts with Generalization Guarantees

Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of insulin resistance

On Generalizations of Some Distance Based Classifiers for HDLSS Data

Optimal recovery of unsecured debt via interpretable reinforcement learning

Classification of fall directions via wearable motion sensors

Optical fibre based quench detection in HTS applications using machine learning classifiers

Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Graph Chatbot

Chat with Graph Search

Optimal recovery of unsecured debt via interpretable reinforcement learning

Classification of fall directions via wearable motion sensors

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of insulin resistance

On Generalizations of Some Distance Based Classifiers for HDLSS Data

Federated Learning under Covariate Shifts with Generalization Guarantees

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis

Optical fibre based quench detection in HTS applications using machine learning classifiers

Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study